Paperspace Pricing (2026)
Hybrid through and through — you pay a platform subscription (per seat on team plans, flat on individual) plus variable compute costs billed hourly on top. The real value metric is GPU time, not seats; the subscription is basically just an access fee.
- Free
- $0/mo
- T0
- $0/mo
- Pro Popular
- $8/mo
- T1
- $12/mo
- Growth
- $39/mo
- T2
- Contact Sales
Keep up with your competitors, without the manual work.
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Free
- Public projects
- Auto-shutdown (12 hour limit)
- 5GB storage
- Basic instances
T0
- Low Instance Types
- Public Notebooks
- 10GB Persistent Storage included ($0.29/GB overage)
- Auto-shutdown (12 hour limit)
- Total Notebooks: 10
- Running Notebook limit: 1
Pro
Popular- Private projects
- 15GB storage
- Auto-shutdown (configurable)
- Mid-range instances
- Faster free GPUs 🚀 (based on availability)
T1
- Low - Mid Instance Types
- Private Notebooks
- 500GB Persistent Storage included ($0.29/GB overage)
- Auto-shutdown (configurable)
- Total Notebooks: 100
- Running Notebook limit: 10
Growth
- Private projects
- 50GB storage
- Auto-shutdown (configurable)
- High-end instances
- Expert Support
T2
- Low - High Instance Types
- Private Notebooks
- Scalable Storage
- Auto-shutdown (configurable)
- Unlimited Notebooks
- Unlimited Running Notebooks
AI Pricing Analysis
Pricing Model
Hybrid through and through — you pay a platform subscription (per seat on team plans, flat on individual) plus variable compute costs billed hourly on top. The real value metric is GPU time, not seats; the subscription is basically just an access fee.
Tier Strategy
Free and Pro are solo devs experimenting or running light workloads; Growth is for individuals who need more collaboration or higher compute limits. On the team side, T0 is a free entry point for small groups, T1 kicks in when you need managed team features, and T2 is enterprise custom — you've outgrown self-serve.
Competitive Positioning
They're undercutting hyperscalers on GPU compute (H100 at $5.95/hr on-demand is aggressive, and the 3-year commit at $2.24/hr is a direct shot at AWS/GCP reserved pricing) while keeping subscription tiers low to reduce friction. They're going after ML teams who find cloud giants too expensive and too complex.
Growth Lever
Compute spend is the real expansion engine — every model training run or inference job adds to the bill regardless of tier. The 3-year commit pricing is a retention trap disguised as a discount, and storage overages at $0.29/GB quietly compound as datasets grow.
Paperspace Pricing FAQ
- How much does Paperspace cost?
- Paid plans start at $8/mo, going up to $39/mo for larger teams. There's also an Enterprise tier with custom pricing. You can get started on the free plan before committing.
- Is there a free plan?
- Yes. The "Free" plan is free forever, not just a trial. You get public projects, auto-shutdown (12 hour limit), 5gb storage — plus 1 more features. It's enough to evaluate the product before upgrading.
- Can I try it before paying?
- There's no trial per se, but the free plan lets you use the product indefinitely with some limits.
- How does the pricing work?
- Hybrid through and through — you pay a platform subscription (per seat on team plans, flat on individual) plus variable compute costs billed hourly on top. The real value metric is GPU time, not seats; the subscription is basically just an access fee.
- Which plan makes sense for me?
- Free and Pro are solo devs experimenting or running light workloads; Growth is for individuals who need more collaboration or higher compute limits. On the team side, T0 is a free entry point for small groups, T1 kicks in when you need managed team features, and T2 is enterprise custom — you've outgrown self-serve.
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Comparing Paperspace to something specific? Try Paperspace vs Anthropic, Paperspace vs AssemblyAI, or Paperspace vs Avoma.
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